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Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/8681

Title: An investigation on visual and audiovisual stimulus based emotion recognition using EEG
Authors: Murugappan, M.
Mohd Rizon, Mohammed Juhari
Nagarajan, Ramachandran, Prof. Dr.
Sazali, Yaacob, Prof.
Keywords: EEG;Electroencephalogram;Human emotions;Neural network;Wavelet transform;WT
Issue Date: Jan-2009
Publisher: Inderscience Enterprises Ltd.
Citation: International Journal of Medical Engineering and Informatics, vol.1(3), 2009, pages 342-356
Abstract: In this paper, we investigate the possibility of using visual and audio visual stimulus for detecting the human emotion by measuring electroencephalogram (EEG). Visual and audiovisual stimulus based protocols is designed to acquire the EEG signals over five healthy subjects using 63 biosensors. We propose the analysis of EEG signals using discrete wavelet transform and classification using neural network. EEG signals were decomposed into five frequency sub-bands using 'db4' wavelet function and two statistical features were extracted from the alpha band. These statistical features were used as input to the neural network for classifying five emotions (disgust, happy, surprise, sad and anger). In the experiments of recognising human emotions from visual and audiovisual stimulus, the average recognition rate of 56.66% and 66.67% is obtained. The experimental result shows that the audiovisual stimulus based emotion recognition gives better classification accuracy over visual stimulus.
Description: Link to publisher's homepage at http://www.inderscience.com/
URI: http://www.inderscience.com/offer.php?id=22645
ISSN: 1755-0653
Appears in Collections:M. Murugappan, Dr.
School of Mechatronic Engineering (Articles)
Sazali Yaacob, Prof. Dr.
Ramachandran, Nagarajan, Prof. Dr.
Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr.

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